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January Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the January 2021 Edition of the journal. The last date of research paper submission is December 15, 2020.

Luppar: Information Retrieval for Closed Text Document Collections

Fabiano Tavares da Silva, Jos´e Everardo Bessa Maia in Information Sciences

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Fabiano Tavares da Silva, Jos´e Everardo Bessa Maia
10.5120/ijais2020451846
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  1. Fabiano Tavares Silva and Jose Everardo Bessa Maia. Luppar: Information Retrieval for Closed Text Document Collections. International Journal of Applied Information Systems 12(28):1-6, March 2020. URL, DOI BibTeX

    @article{10.5120/ijais2020451846,
    	author = "Fabiano Tavares da Silva and Jose Everardo Bessa Maia",
    	title = "Luppar: Information Retrieval for Closed Text Document Collections",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "March 2020",
    	volume = 12,
    	number = 28,
    	month = "March",
    	year = 2020,
    	issn = "2249-0868",
    	pages = "1-6",
    	url = "http://www.ijais.org/archives/volume12/number28/1079-2020451846",
    	doi = "10.5120/ijais2020451846",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

This article presents Luppar, an Information Retrieval tool for closed collections of text documents which uses a local distributional semantic model associated to each corpus. The system performs automatic query expansion using a combination of distributional semantic model and local context analysis and supports relevancy feedback. The performance of the system was evaluated in databases of different domains and presented results equal to or higher than those published in the literature.

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Keywords

Information Retrieval, Distributional Semantic Model, Local Context Analysis, Closed Document Collection